Propensity model training with XGBoost
-
Updated
Sep 10, 2024 - Python
#
propensity-modeling
Here are 4 public repositories matching this topic...
ML-powered channel optimization engine for pharma sales reps. Engagement-based NBA with XGBoost propensity models, Streamlit dashboard, and synthetic data for the German pharma market.
python machine-learning healthcare xgboost pharma streamlit channel-optimization next-best-action propensity-modeling sales-optimization
-
Updated
Feb 28, 2026 - Jupyter Notebook
Propensity scoring model for user conversion prediction
-
Updated
Dec 30, 2025 - Python
This project segments Starbucks customers using transaction and offer data. Through preprocessing, feature engineering, and clustering (K-Means), it identifies distinct customer groups, providing insights to personalize marketing, improve engagement, and boost customer retention.
-
Updated
Aug 17, 2025 - HTML
Improve this page
Add a description, image, and links to the propensity-modeling topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the propensity-modeling topic, visit your repo's landing page and select "manage topics."